Transforming the study of organisms: Phenomic data models and knowledge bases is a dataset published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0.706, placing it in the top 28.3% of the data-sharing corpus. It has been cited 16 times, with 12 citing works in its 1-hop citation network.
Ranks in the top 28% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.281
From 10 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 12 citers.
NIH HHS
Grant: R24 OD011883
NIEHS NIH HHS
Grant: U2C ES026555
NHGRI NIH HHS
Grant: RM1 HG010860
NCI NIH HHS
Grant: U13 CA221044
National Science Foundation
Grant: 1759808
Collaborative Research: ABI Innovation: FuTRES, an Ontology-Based Functional Trait Resource for Paleo- and Neo-biologists
National Institutes of Health
Grant: 5R24OD011883-07
The Monarch Initiative: Linking Diseases to Model Organism Resources
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